Triple

T8310149
Position Surface form Disambiguated ID Type / Status
Subject Formiae E194570 entity
Predicate locatedBetween P1262 FINISHED
Object Terracina E339378 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Terracina | Statement: [Formiae, locatedBetween, Terracina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terracina
Context triple: [Formiae, locatedBetween, Terracina]
  • A. Terracina chosen
    Terracina is a historic coastal city in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position on the Tyrrhenian Sea.
  • B. Velletri
    Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
  • C. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
  • D. Sermoneta
    Sermoneta is a historic hilltop town in Italy’s Lazio region, renowned for its well-preserved medieval architecture and imposing Caetani Castle.
  • E. Arpino
    Arpino is a historic town in central Italy, traditionally known as the birthplace of the Roman statesman Cicero.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce4d8a7eb48190bc1bebc56a46a5b9 completed April 2, 2026, 11:05 a.m.
Created at: March 30, 2026, 5:54 p.m.